SolidWorks Simulation is suitable for linear analysis, small deformation, and simple contact scenarios, but Abaqus becomes necessary when simulations involve complex non-linearities including geometry changes, unpredictable contact, advanced materials like rubber or composites, damage and failure modeling, or extreme deformation scenarios such as drop tests and impact analysis. Abaqus offers robust implicit and explicit solvers, advanced techniques like general contact, cohesive elements, and SPH for fragmentation, along with cloud computing capabilities that significantly accelerate simulation times for complex models.
Deep Dive
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Deep Dive
Good Morning Simulation 2026 - Día 2 ESPAdded:
[music] >> Good morning everyone.
My name is Mai Doan. I'm a worldwide simulation consultant based in Austin, Texas.
And today, I'm going to present from SolidWorks to next level simulation with Abaqus.
So, let me ask you a simple question.
Have you ever had a simulation that just wouldn't converge, no matter what you you do?
Most companies who use SolidWorks start with SolidWorks simulation, and it works well until the physics becomes too complex.
And that's exactly what we're going to talk about today.
So, for the agenda, we'll cover three We'll cover six things.
Why non-linear studies fail, when to move to Abaqus, how Abaqus solves it, real-world examples, cloud computing, and key takeaways.
So, let's get started with why non-linear studies fail.
Most non-linear studies don't fail because the engineer did anything wrong.
They fail because the physics is too complex.
You've probably seen this in SolidWorks Simulation.
This is an error uh message when non-linear studies are not converging.
So, there are three main sources of non-linearities: geometry, contact, and material.
The real challenge is when all three non-linearities happen at the same time, especially when changes are abrupt. For example, when contacts open or close.
That's when convergence becomes very difficult.
So, when to move to Abaqus?
Most companies start with SolidWorks Simulation.
As their simulations become more complex, more non-linear, they eventually need Abaqus.
So, when to move from SolidWorks Simulation to Abaqus? SolidWorks Simulation is best for linear analysis, small deformation, uh early design validation, and fast iterations.
Abaqus is needed when you have complex uh contact, large deformation, advanced large deformation or or extreme deformation, advanced materials like hyperelastic composite, you need it if you need to model damage and failure, and also you need it for um applications like drop test, impact, uh so extremely nonlinearities.
So, this is Abaqus is not a replacement.
It's a natural next step as complexity increases.
Geometry and contact nonlinearity when the structure changes.
So, let's talk about geometry and contact nonlinearities.
Here, when the dome touches the bottom surface, its shape is changing as it deforms.
That's geometry nonlinearity.
Now, when the dome makes contact with the bottom surface, that's contact nonlinearity, and this is not smooth. It's abrupt. It's on or off.
This sudden or abrupt change is what makes contact difficult to converge.
In SolidWorks Simulation, we define contact using contact pairs.
This works well when contact is predictable, like this dome example on the left.
Now, when you have an example like the one on the right, a ball splitting hairs.
In this case, any hair can touch the ball. Any hair can touch another hair.
Contacts open, close, and change constantly.
In this case, defining contact manually is almost impossible. That's when we use general contact in Abaqus.
The third source of nonlinearity is material nonlinearity.
For metals, once you pass the yield strength, the material behavior becomes nonlinear.
For materials like rubber, gasket, Nitinol, the response is nonlinear from the beginning.
And composites are even more complex.
They are direction dependent, meaning they don't behave the same in every direction.
They are layered, and they fail progressively.
Composites are not just nonlinear. They are nonlinearly nonlinear layered structures.
And how you model them determine the accuracy of your results.
Composite damage and failure.
Unlike other materials, failure in composite is not one event. It's multiple mechanism happening together.
Abaqus can simulate interlaminar or delamination, where layers separate from each other.
This is critical because once layers lose adhesion, the structure quickly loses stiffness and load carrying capacity.
Inter- Abaqus can simulate intralaminar damage, things like matrix cracking or fiber failure.
To simulate composite failure accurately, Abaqus offers multiple advanced tech- techniques, cohesive elements, and VCCT, which stands for virtual crack closure technique, capture delamination, XFEM handles crack propagation, and continuum damage models represent progressive material degradation.
The power comes from combining these approaches to replay- to reflect how damage actually develops in real composite structures.
So, let's talk now about packaging.
When you move to Abaqus, you unlock the full ecosystem.
Abaqus, proven finite element analysis technology, arguably the best nonlinear solver or the nonli- nonlinear technology on the market, both for its implicit and explicit solver.
Isight enables you to automate workflows, perform parametric and optimization studies using DOE, design of experiment, Monte Carlo, and more.
Tosca is used for structure and free flow optimization for conceptual and detail analysis.
fe-safe is the market leader for fatigue and durability to predict and analyze product life.
With fe-safe, you can perform stress and strain base fatigue, so run high cycle fatigue and low cycle fatigue.
fe-safe comes with a predefined material database.
So next, how Abaqus solves it. Let's focus on how Abaqus solvers solves nonlinear studies.
Abaqus comes with two parts.
You can do all the pre-processing and post-processing in Abaqus CAE complete Abaqus environment.
And underneath, you have two complementary solvers, Abaqus Standard and Abaqus Explicit.
Abaqus Standard is used for nonlinear static problems and slow dynamics.
It is perfect for nonlinear behavior like nonlinear contact, nonlinear materials, and large deformation.
You can use Abaqus Standard for a wide range of multiphysics procedure, such as coupled temperature and displacement, but also coupled thermal and electrical, acoustics, electromagnetics, electronic chemical and more.
Abaqus Explicit is used for high transient high-speed transient dynamic events, so fast and short events.
Abaqus Explicit is also suited for highly nonlinear quasi-static events.
We'll talk more about this topic in a minute.
You can see here typical explicit applications such as crash test, forming, deep drawing, metal rolling, blast, and a lot more.
So, implicit versus explicit.
We all know that implicit and explicit are different solvers, but what most engineers don't know is how they work when it comes to convergence.
Implicit tries to find equilibrium.
It requires convergence.
Explicit does not try to converge.
It comes forward in small time steps.
So, this is really important difference between implicit and and explicit, and that makes explicit very robust.
And this is why explicit can solve problems that fell in implicit.
And even static problems can be solved with explicit using quasi-static techniques.
So, that technique is that we apply the load slowly, we keep inertia small, and we solve them without equilibrium iterations.
And that is why explicit can solve problems that you cannot obtain result, you cannot obtain convergence, and that fell in in implicit.
And here we have this sheet metal forming problems that was solved using explicit in a quasi-static way.
So, real-world examples.
Here, we have a real case, a simulation study with a friction coefficient of.4.
In this case, SolidWorks Simulation struggles and Abaqus solves it.
So, this looks like a simple rotary selector, but it combines three things that are extremely non-linear: a hyperelastic core, an interference fit, and a friction coefficient of 0.4, all interacting at the same time.
In SolidWorks Simulation, you'll see a warning when friction exceeds 0.2.
And even with a frictionless contact, meaning a friction coefficient of zero, this analysis didn't solve in SolidWorks Simulation.
In Abaqus, on the contrary, the same model solves successfully with the realistic 0.4 friction coefficient.
So, same model, same physics, different outcome.
No convergence in SolidWorks Simulation, full convergence with realistic friction of 0.4 in Abaqus.
And that's the power of a more robust non-linear solver.
Here, we have an example of a multi-strand wire using general contact.
So, it is difficult in this case to predict how contacting surfaces changes during the simulation.
As the simulation progresses, surface will contact with different surfaces, and the change is continuous throughout the the whole application.
So, so the solution here is to use general contact in Abaqus, which is powerful and yet easy to use.
Progressive damage and failure. Here, we have an example of the crushing of a column.
So, when you need damage and failure, use Abaqus.
Um damage and failure are not available in SolidWorks Simulation.
On the left, we have we have uh we model damage initiation only.
This means we only predict when damage starts.
On the right, we model both damage initiation and damage evolution. This means we allow damage to evolve following that failure process.
Here, we have an example of a pin joint model.
So, when contact needs help, contact stabilization is a good option.
In this pin joint model, the vertical pin is held only by two clevises with a gaps between the pins and the clevises.
So, what happens when we have these gaps is the model will experience rigid body motion.
So, to avoid rigid body motion, we use contact stabilization, which acts damping to help the model settle in order to get convergence.
So, think about damping as a numerical jelly to hold that whole assembly together. And as contact establish, the numerical jelly melts away.
When structures interact with flowing material, we need to use CEL, or couple Eulerian Lagrangian.
So here we have the simulation of a fluid filled tank um impact and a tank sloshing.
When we have structures interacting with flow material with flowing material, we need to use CEL.
So the structure is still modeled the way we used to, which is using Lagrangian elements, but the flowing material is handled differently using Eulerian elements. So it can move freely without destroying the mesh.
This lets us capture fluid structure interaction even under extreme motion.
Here the tank deforms on impact while the fluid sloshes and loads the structure dynamically.
Here we have a tank sloshing. The fluid motion, not just the structure, drives the load.
When physics include fragmentation, we need to use SPH, or smooth particle hydrodynamics.
So when we have material um when material breaks apart, physics include fragmentation, that's when smooth particle hydrodynamic comes in.
So SPH is designed for problems where material breaks apart, flows, or separate completely.
SPH replaces the mesh with particles.
Those particles can separate, collide, and flow.
On the left, SPH is used to represent solid material with a projectile impact analysis. You can see that the material fractures and separates.
On the right, we have dip painting analysis, which is used to find regions of the vehicle chassis that failed to converge.
So, when deformation becomes fragmentation, SPH is the right method.
Obviously, CEL and SPH are not available in SolidWorks Simulation. That's when we need to move to Abaqus.
DEM, discrete element method.
When we have materials that flow, such as powders or particles, we need to use discrete element method as shown in the examples here.
So, these are physics that are simply not available in SolidWorks Simulation.
Cloud computing.
This is a very powerful capability of Abaqus, we and it is not, again, available with SolidWorks Simulation.
So, this is a major advantage in Abaqus.
Um there are three common challenges.
The first one is not enough hardware.
The second one is simulation is running too slow. And the third one is engineers have too many cases to run.
And cloud computing solve all these three challenges.
Here is an example of a bolt pretension of a bolt pretension analysis of an engine block.
Uh we have an implicit static analysis with 17 million degrees of freedom, or almost 6 million uh 6 million notes.
Using cloud computing, using local computing, this study took about 48 hours.
Whereas using cloud computing, you can speed it up by eight times you by using 36 cores or 20 times using 144 cores.
With cloud computing, you can run much larger models much faster.
So more core, shorter simulation time.
Here, we have an explicit example of a drop test with 340 thousand degrees of freedom.
Here, you can see that the speed up can be four times using eight cores or eight times using 18 cores.
With cloud computing, even complex simulation like drop test run in minutes instead of hours. So engineers can iterate much faster.
So instead of waiting, engineers can iterate and make decisions faster.
Finally, last section is the key takeaways.
So the question is, when do you need to move to Abaqus?
Do you want to stay in SolidWorks simulation if you have linear behavior, small deformation, simple contact, everything converges, you want to do fast design iteration.
You want to move to Abaqus when your simulation fails or it doesn't converge.
you have large or extreme deformation, you have complex or unpredictable contact, you have you want to model advanced material like rubber or composites, you need to model failure and damage, you need to model drop test impact crushing.
So SolidWorks simulation helps you design, Abaqus help you predict real-world applications.
This is not a replacement, it's an expansion.
And the question is not if you need Abaqus, it's when you need Abaqus.
So with that, um this concludes my presentation.
Thank you for your attention.
simulation electromagnetic fluid structural cloud content and content content technology collaborative platform experience simulation >> [music]
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